Category Archives: Artificial Intelligence
Gartner believes Artificial Intelligence (AI) security will be a top strategic technology trend in 2020, and that enterprises must gain awareness of AIs impact on the security space. However, many enterprise IT leaders still lack a comprehensive understanding of the technology and what the technology can realistically achieve today. It is important for leaders to question exasperated Marketing claims and over-hyped promises associated with AI so that there is no confusion as to the technologys defining capabilities.
IT leaders should take a step back and consider if their company and team is at a high enough level of security maturity to adopt advanced technology such as AI successfully. The organizations business goals and current focuses should align with the capabilities that AI can provide.
A study conducted by Widmeyer revealed that IT executives in the U.S. believe that AI will significantly change security over the next several years, enabling IT teams to evolve their capabilities as quickly as their adversaries.
Of course, AI can enhance cybersecurity and increase effectiveness, but it cannot solve every threat and cannot replace live security analysts yet. Today, security teams use modern Machine Learning (ML) in conjunction with automation, to minimize false positives and increase productivity.
As adoption of AI in security continues to increase, it is critical that enterprise IT leaders face the current realities and misconceptions of AI, such as:
AI is not a solution; it is an enhancement. Many IT decision leaders mistakenly consider AI a silver bullet that can solve all their current IT security challenges without fully understanding how to use the technology and what its limitations are. We have seen AI reduce the complexity of the security analysts job by enabling automation, triggering the delivery of cyber incident context, and prioritizing fixes. Yet, security vendors continue to tout further, exasperated AI-enabled capabilities of their solution without being able to point to AIs specific outcomes.
If Artificial Intelligence is identified as the key, standalone method for protecting an organization from cyberthreats, the overpromise of AI coupled with the inability to clearly identify its accomplishments, can have a very negative impact on the strength of an organizations security program and on the reputation of the security leader. In this situation, Chief Information Security Officers (CISO) will, unfortunately, realize that AI has limitations and the technology alone is unable to deliver aspired results.
This is especially concerning given that 48% of enterprises say their budgets for AI in cybersecurity will increase by 29 percent this year, according to Capgemini.
Read more:Improve Your Bottom Line With Contract Automation and AI
We have seen progress surrounding AI in the security industry, such as the enhanced use of ML technology to recognize behaviors and find security anomalies. In most cases, security technology can now correlate the irregular behavior with threat intelligence and contextual data from other systems. It can also use automated investigative actions to provide an analyst with a strong picture of something being bad or not with minimal human intervention.
A security leader should consider the types of ML models in use, the biases of those models, the capabilities possible through automation, and if their solution is intelligent enough to build integrations or collect necessary data from non-AI assets.
AI can handle a bulk of the work of a Security Analyst but not all of it. As a society, we still do not have enough trust in AI to take it to the next level which would be fully trusting AI to take corrective actions towards those anomalies it identified. Those actions still require human intervention and judgment.
Read more:The Nucleus of Statistical AI: Feature Engineering Practicalities for Machine Learning
It is important to consider that AI can make bad or wrong decisions. Given that humans themselves create and train the models that achieve AI, it can make biased decisions based on the information it receives.
Models can produce a desired outcome for an attacker, and security teams should prepare for malicious insiders to try to exploit AI biases. Such destructive intent to influence AIs bias can prove to be extremely damaging, especially in the legal sector.
By feeding AI false information, bad actors can trick AI to implicate someone of a crime more directly. As an example, just last year, a judge ordered Amazon to turn over Echo recordings in a double murder case. In instances such as these, a hacker has the potential to wrongfully influence ML models and manipulate AI to put an innocent person in prison. In making AI more human, the likelihood of mistakes will increase.
Whats more, IT decision-makers must take into consideration that attackers are utilizing AI and ML as an offensive capability. AI has become an important tool for attackers, and according to Forresters Using AI for Evil report, mainstream AI-powered hacking is just a matter of time.
AI can be leveraged for good and for evil, and it is important to understand the technologys shortcomings and adversarial potential.
Though it is critical to acknowledge AIs realistic capabilities and its current limitations, it is also important to consider how far AI can take us. Applying AI throughout the threat lifecycle will eventually automate and enhance entire categories of Security Operations Center (SOC) activity. AI has the potential to provide clear visibility into user-based threats and enable increasingly effective detection of real threats.
There are many challenges IT decision-makers face when over-estimating what Artificial Intelligence alone can realistically achieve and how it impacts their security strategies right now. Security leaders must acknowledge these challenges and truths if organizations wish to reap the benefits of AI today and for years to come.
Read more:AI in Cybersecurity: Applications in Various Fields
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Reality Check: The Benefits of Artificial Intelligence - AiThority
Albert Hsiao, M.D., Ph.D., and his colleagues at the University of California San Diego (UCSD) health system had been working for 18 months on anartificial intelligence program designed to help doctors identify pneumonia on a chest X-ray.
When thecoronavirushit the U.S., they decided to see what it could do.
The researchers quickly deployed the application, which dots X-ray images with spots of color where there may be lung damage or other signs of pneumonia. It has now been applied to more than 6,000 chest X-rays, and its providing some value in diagnosis, said Hsiao, director of UCSDs augmented imaging and artificial intelligence data analytics laboratory.
His team is one of several around the country that has pushed AI programs developed in a calmer time into the COVID-19 crisis to perform tasks like deciding which patients face the greatest risk of complications and which can be safely channeled into lower-intensity care.
The machine-learning programs scroll through millions of pieces of data to detect patterns that may be hard for clinicians to discern. Yet few of the algorithms have been rigorously tested against standard procedures. So while they often appear helpful, rolling out the programs in the midst of a pandemic could be confusing to doctors or even dangerous for patients, some AI experts warn.
AI is being used for things that are questionable right now, said Eric Topol, M.D., director of the Scripps Research Translational Institute and author of several books on health IT.
Topol singled out a system created by Epic, a major vendor of electronic health records software, that predicts which coronavirus patients may become critically ill. Using the tool before it has been validated is pandemic exceptionalism, he said.
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Epic said the companys model had been validated with data from more 16,000 hospitalized COVID-19 patients in 21 healthcare organizations. No research on the tool has been published, but, in any case, it was developed to help clinicians make treatment decisions and is not a substitute for their judgment, said James Hickman, a software developer on Epics cognitive computing team.
Others see the COVID-19 crisis as an opportunity to learn about the value of AI tools.
My intuition is its a little bit of the good, bad and ugly, said Eric Perakslis, Ph.D., a data science fellow at Duke University and former chief information officer at the Food and Drug Administration. Research in this setting is important.
Nearly $2 billion poured into companies touting advancements in healthcare AI in 2019. Investments in the first quarter of 2020 totaled $635 million, up from $155 million in the first quarter of 2019, according to digital health technology funderRock Health.
At least three healthcare AI technology companies have made funding deals specific to the COVID-19 crisis, including Vida Diagnostics, an AI-powered lung-imaging analysis company, according to Rock Health.
Overall, AIs implementation in everyday clinical care is less common than hype over the technology would suggest. Yet the coronavirus crisis has inspired some hospital systems to accelerate promising applications.
UCSD sped up its AI imaging project, rolling it out in only two weeks.
Hsiaos project, with research funding from Amazon Web Services, the University of California and the National Science Foundation, runs every chest X-ray taken at its hospital through an AI algorithm. While no data on the implementation has been published yet, doctors report that the tool influences their clinical decision-making about a third of the time, said Christopher Longhurst, M.D., UCSD Healths chief information officer.
The results to date are very encouraging, and were not seeing any unintended consequences, he said. Anecdotally, were feeling like its helpful, not hurtful.
RELATED:Headlines have touted AI over docs in reading medical images. New review finds evidence is limited
AI has advanced further in imaging than other areas of clinical medicine because radiological images have tons of data for algorithms to process, and more data makes the programs more effective, said Longhurst.
But while AI specialists have tried to get AI to do things like predict sepsis and acute respiratory distressresearchers at Johns Hopkins University recently won a National Science Foundation grantto use it to predict heart damage in COVID-19 patientsit has been easier to plug it into less risky areas such as hospital logistics.
In New York City, two major hospital systems are using AI-enabled algorithms to help them decide when and how patients should move into another phase of care or be sent home.
AtMount Sinai Health System, an artificial intelligence algorithm pinpoints which patients might be ready to be discharged from the hospital within 72 hours, said Robbie Freeman, vice president of clinical innovation at Mount Sinai. Freeman described the AIs suggestion as a conversation starter, meant to help assist clinicians working on patient cases decide what to do. AI isnt making the decisions.
NYU Langone Health has developed a similar AI model. It predicts whether a COVID-19 patient entering the hospital will suffer adverse events within the next four days, said Yindalon Aphinyanaphongs, M.D., Ph.D., who leads NYU Langones predictive analytics team.
The model will be run in a four- to six-week trial with patients randomized into two groups: one whose doctors will receive the alerts, and another whose doctors will not. The algorithm should help doctors generate a list of things that may predict whether patients are at risk for complications after theyre admitted to the hospital, Aphinyanaphongs said.
RELATED:Microsoft launches $40M AI for Health program to accelerate medical research
Some health systems are leery of rolling out a technology that requires clinical validation in the middle of a pandemic. Others say they didnt need AI to deal with the coronavirus.
Stanford Health Careis not using AI to manage hospitalized patients with COVID-19, saidRon Li, M.D., the centers medical informatics director for AI clinical integration. The San Francisco Bay Area hasnt seen the expected surge of patientswho would have provided the mass of data needed to make sure AI works on a population, he said.
Outside the hospital, AI-enabled risk factor modeling is being used to help health systems track patients who arent infected with the coronavirus but might be susceptible to complications if they contract COVID-19.
At Scripps Health in San Diego, clinicians are stratifying patients to assess their risk of getting COVID-19 and experiencing severe symptoms using a risk-scoring model that considers factors like age, chronic conditions and recent hospital visits. When a patient scores 7 or higher, a triage nurse reaches out with information about the coronavirus and may schedule an appointment.
Though emergencies provide unique opportunities to try out advanced tools, its essential for health systems to ensure doctors are comfortable with them, and to use the tools cautiously, with extensive testing and validation, Topol said.
When people are in the heat of battle and overstretched, it would be great to have an algorithm to support them, he said. We just have to make sure the algorithm and the AI tool isnt misleading, because lives are at stake here.
ThisKHNstory first published onCalifornia Healthline, a service of theCalifornia Health Care Foundation.Kaiser Health Newsis a nonprofit news service covering health issues. It is an editorially independent program of the Kaiser Family Foundation, which is not affiliated with Kaiser Permanente.
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Coronavirus tests the value of artificial intelligence in medicine - FierceHealthcare
How artificial intelligence is keeping time-critical shipments on track during pandemic – FreightWaves
Consumers are seeing and feeling the impact of COVID-19 supply chain interruptions and delays in their everyday lives, from shortages of paper goods and cleaning supplies in grocery stores, to rising prices for beef and poultry.
For specialized industries such as health care and aerospace, however, the stakes of supply chain interruptions and service failures have perhaps never been higher. So far the traditional hub-and-spoke time-critical logistics industry has largely struggled to adapt, while newer technology-enabled models in the industry are showing significant promise to perform in a crisis.
Artificial intelligence (AI) platforms in particular have shown remarkable resilience during the COVID-19 crisis and the ability to quickly pivot shipments with minimal delays and service failures. California-based Airspace Technologies was one of the first logistics providers in the time-critical space to implement a breakthrough AI-powered platform that they say has enabled them to swiftly adjust operations without interruptions to their 24/7, 365-days-a-year services.
Airspace was built with moments like these in mind. It was designed to perform in a crisis when time is of the essence and lives and entire industries are quite literally on the line, said Airspace Technologies CEO and co-founder Nick Bulcao.
With years of experience specializing in urgent medical deliveries, such as organs for transplant, as well as aerospace parts for downed aircraft, Airspace says they have noticed a significant impact on their business as elective surgeries are delayed and less aircraft are flying. But the automated, AI-driven software that is the heartbeat of their operations has made adjusting to the new realities of the industry immensely more manageable.
With lives on the line, Airspace moved quickly to set up new shipment networks and routes each day to begin transporting urgently needed COVID-19 test kits, blood and plasma units, and vital organs for transplant to get where they need to go. Their fully transparent, automated software platform also allows minute-by-minute real-time tracking of deliveries, so hospitals and labs know exactly where kits or urgent supplies are and when they will arrive.
Airspace is currently making between 250 and 300 health care-related deliveries each day, and has transported as many as 30 organs in just one week.
The companys aerospace parts delivery business has had its own heroic moments during the COVID-19 crisis. An independent delivery driver for Airspace in the Bay Area recounted a harrowing incident last month in which he was asked to make a critical aerospace part delivery not to an airport, but to Stanford University Medical Center instead. Sensing the urgency of the moment, the driver immediately retrieved the part and made his way to the hospital.
Arriving two hours earlier than expected, I called my point of contact, who was still over an hour away. After some coordination with the engineer and hospital staff, I handed over the critical part for the medevac helicopter stranded on the hospital roof to a nurse instead helping get the lifesaving equipment back in the air ahead of schedule, said Bryan Sperry, 61, the driver.
Airspace says software also allowed them to protect workers by rapidly transitioning their team to fully remote operations across the United States.
The key was doing so with zero disruption to our round-the-clock operations and with full capabilities still in place, said Ryan Rusnak, Airspace co-founder and chief technology officer. After some planning, it took the team less than 36 hours to make a complete transition. Theyre now remotely continuing to provide the seamless, end-to-end experience our customers expect.
The transition and dramatic decline in passenger flights has not been without its challenges, though. Fewer passenger flights means fewer routing options, often accompanied by delays that can be costly for customers. That is where the power of the AI platform can often make the biggest difference, Airspace says.
One of the key features of their AI software is an automated delay declaration, which allows the operations team to quickly pivot to the next optimal routing if an order experiences a flight delay even in the middle of a trip. For example, on one day in March this year, amid more than 100 flight cancellations at the Las Vegas airport, Airspaces technology allowed the company to reduce disruption to critical deliveries to less than 38-minute average delays, while over 60% of orders there experienced no delays at all.
The rapidly changing dynamics as a result of the COVID-19 pandemic have created enormous challenges across industries and supply chains, but the power of AI to keep industry and lifesaving goods and services moving in a crisis has shown a positive path toward maintaining affordability, speed, reliability and transparency in urgent logistics.
The recent news headlines have been scattered with multiple topics of discussion on Artificial Intelligence, or AI, and its wide application. Artificial Intelligence has been altering and mediating all forms of human interaction, ranging from companies/businesses in risk management to national security and warfare.
However, the pinnacle of debates seems to center around Americas workforce and the replacement of labor-intensive work with robots. According to Fortune, by 2030, more than 800 million jobs will be replaced. Numerous jobs of varying skill requirements are at risk of being replaced by machines.
Many technology companies such as Apple, Google and Uber have already undergone development for self-driving cars and the progress is alarming. Several car corporations such as Mercedes-Benz, Tesla and Waymo have already assimilated self-parking mechanics and self-driving car services as of right now. Transportation automation may risk 5.2 million jobs in the US alone, according to the Bureau of Transportation Statistics.
White-collared jobs are no safe-haven either. Journalists, lawyers, even medical researchers and doctors are at risk of losing their jobs. According to Forbes, computer creativity is taking leaps forward in all forms of art, including literature. Much of a lawyers job consists of contracting and document-scanning which can be done more efficiently and effectively by computers than humans can.
Many of todays most brilliant minds have said that artificial intelligence will be the downfall of humanity, however, we should not rush to such conclusions. In many cases, AI will not be replacing humans, but rather, will be aiding. There have been multiple examples of new machinery affecting an area of job security, yet in many cases, weve learned to adapt and make use of it.
In recent times, many people have shown disapproval of such artificial intelligence with violence and vandalism. There has been increased fear over job security with AI, but many seem to ignore any idea of a mixture of both the organic and inorganic in the workplace. AI can improve our labor force rather than replace it, and jobs will be reaffirmed to fit with these machines.
With this rise of technology, comes its ethics and AI will learn based on what we feed it. By giving such machines the tedious tasks that we do not wish to do, there is more time for creativity, flexibility and growth. For example, self-driving cars will replace drivers, but it will also open other jobs such as maintenance of these automobiles. In the same sense, AI will open new windows for the economy.
Joshua Nam, a sophomore at Van Nuys High School, is an avid computer programmer, and one of many minds that will be living in an era of AI integration. He responded positively to machine learning.
Artificial Intelligence can sometimes come up with ideas that we cant come up with ourselves, Nam said. It depends on whos controlling the AI. If there is a monopoly on AI, its not good, as one person can affect so many people. Were constantly moving in the future, [and] people can find other jobs that are more beneficial.
Not only limited to the auto industry, but AI will also benefit warehouse employees, security and medicine. Robots have become comparatively better at medical diagnosis than humans. As a result of the growing influence of artificial minds, they will become more effective than us at performing these tasks.
However, there will always be aspects of customer service and care that humans will be better at. When going to a hospital, people want to be comforted by people, and similarly, the human aspect of many jobs will never be replaced by a machine.
There are many unanswered questions about machines in a workspace such as a robot workers rights, changes in legal standards, laws written about safety, to say the least. At the end of the day, AI is an apparatus with wide application, but control lies in the hands of the user, us.
COVID-19 Impact: A Mix of Challenges and Opportunities | Artificial Intelligence-as-a-Service (AIaaS) Market 2020-2024 | Growing Adoption of Cloud…
LONDON--(BUSINESS WIRE)--Technavio has been monitoring the artificial intelligence-as-a-service (AIaaS) market and it is poised to grow by USD 15.14 billion during 2020-2024, progressing at a CAGR of over 48% during the forecast period. The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment.
Technavio suggests three forecast scenarios (optimistic, probable, and pessimistic) considering the impact of COVID-19. Please Request Free Sample Report on COVID-19 Impact
The market is concentrated, and the degree of concentration will accelerate during the forecast period. Alphabet Inc., Amazon.com Inc., Apple Inc., Intel Corp., International Business Machines Corp., Microsoft Corp., Oracle Corp., Salesforce.com Inc., SAP SE, and SAS Institute Inc. are some of the major market participants. The growing adoption of cloud based solutions will offer immense growth opportunities. To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.
Growing adoption of cloud based solutions has been instrumental in driving the growth of the market.
Artificial Intelligence-as-a-Service (AIaaS) Market 2020-2024: Segmentation
Artificial Intelligence-as-a-Service (AIaaS) Market is segmented as below:
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Artificial Intelligence-as-a-Service (AIaaS) Market 2020-2024: Scope
Technavio presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources. Our artificial intelligence-as-a-service (AIaaS) market report covers the following areas:
This study identifies the increasing adoption of AI in predictive analysis as one of the prime reasons driving the artificial intelligence-as-a-service (AIaaS) market growth during the next few years.
Artificial Intelligence-as-a-Service (AIaaS) Market 2020-2024: Vendor Analysis
We provide a detailed analysis of vendors operating in the artificial intelligence-as-a-service (AIaaS) market, including some of the vendors such as Alphabet Inc., Amazon.com Inc., Apple Inc., Intel Corp., International Business Machines Corp., Microsoft Corp., Oracle Corp., Salesforce.com Inc., SAP SE, and SAS Institute Inc. Backed with competitive intelligence and benchmarking, our research reports on the artificial intelligence-as-a-service (AIaaS) market are designed to provide entry support, customer profile and M&As as well as go-to-market strategy support.
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Artificial Intelligence-as-a-Service (AIaaS) Market 2020-2024: Key Highlights
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Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavios report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavios comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.
Rimini Street Speeds Software Issue Resolution by 23% with New Artificial Intelligence Applications – Business Wire
LAS VEGAS--(BUSINESS WIRE)--Rimini Street, Inc. (Nasdaq: RMNI), a global provider of enterprise software products and services, the leading third-party support provider for Oracle and SAP software products and a Salesforce partner, today announced that it has reduced software issue resolution times by 23% using its new patent pending Rimini Street Artificial Intelligence Support Applications (AI Applications), and that to date the AI Applications have won two awards for innovation and achievement in customer service. The new AI Applications are a result of Rimini Streets continued investment in optimizing support processes and ensuring global service delivery outcomes at scale.
Delivering a Better Client Experience Through Artificial Intelligence
The Rimini Street Artificial Intelligence Support Applications were developed by Rimini Streets Global Service Delivery Innovation Team, whose mission is to invent innovative solutions that further enhance a clients overall service experience. Built using open source technologies, the AI Applications can be integrated into support processes along with other new AI Applications when they become available.
The AI Applications provide specific, unique data insights and intelligence to seamlessly accelerate better client service and support outcomes. Initial AI Applications include:
The AI Applications are built on Rimini Streets Artificial Intelligence Platform which includes infrastructure, tools, algorithms and data used to build, train and run the AI Applications that are always learning to translate information into actionable insights that enable better service delivery.
Rimini Streets AI Applications have already delivered substantial service benefits to clients, including accelerating case resolution times by an average of 23% and providing an even faster, more efficient case resolution process than previously experienced.
Rimini Street showed us what they were doing with AI early on and how they were using this advanced platform in their daily support operations; we are now personally experiencing the benefits of this platform including faster time to resolution for our support issues, said Jay Fisher, CIO, BrandSafway. We initiated our partnership with Rimini Street over five years ago, and as our experiences have been positive, we have expanded our support to include other applications. The Company continues to be a great partner and trusted adviser, helping us meet the different challenges of maintaining our enterprise software system while delivering quality support and helping us improve our business outcomes.
Building on Rimini Streets Award-Winning Support Delivery Model
The Rimini Street AI Support Applications have already won two awards a Stevie Sales and Customer Service Award for Innovation in Customer Service and a Stevie American Business Award for Achievement in Customer Satisfaction and build on the Companys successful, award-winning support delivery model. The Companys Global Service Delivery team is comprised of more than 600 full-time, highly experienced software support engineers based in 17 countries, providing 24/7/365 coverage. When a client switches to Rimini Street support, they are assigned a Primary Support Engineer (PSE) with an average of 15 years experience in their particular software system, who is backed by a team of functional and technical experts. In addition, the Company leads the support industry with its service level agreement (SLA) of 15-minute response times for Priority 1 critical cases, and 30 minutes for Priority 2 cases, and consistently achieves scores of 4.8 out of 5.0 (where 5.0 is excellent) on its client satisfaction surveys.
The Rimini Street AI Support Applications leverage what industry analysts refer to as a pragmatic AI approach, which is designed to enhance the human connection versus automation that replaces human interaction in the customer service process, such as chatbots to manage inquiries. The AI Applications solve real-world challenges using machine learning and natural language processing technologies, each with a specific function as it relates to customer service. The work done by the AI Applications happens seamlessly in the background and does not require any action by the client.
Our vision for Rimini Streets AI Support Applications is to deliver an even more proactive and responsive support program that continually resets the bar for excellence in enterprise software support, said Brian Slepko, executive vice president, Global Service Delivery, Rimini Street. Rimini Street is making the investments required to ensure optimized client outcomes globally at scale. This latest achievement from Rimini Streets Global Service Delivery Innovation Team underscores the value of our focus on support innovation and the mission to provide clients with the right support engineering team, at the right time, in the right geography to deliver the right solution.
About Rimini Street, Inc.
Rimini Street, Inc. (Nasdaq: RMNI) is a global provider of enterprise software products and services, the leading third-party support provider for Oracle and SAP software products and a Salesforce partner. The Company offers premium, ultra-responsive and integrated application management and support services that enable enterprise software licensees to save significant costs, free up resources for innovation and achieve better business outcomes. Nearly 2,100 global Fortune 500, midmarket, public sector and other organizations from a broad range of industries rely on Rimini Street as their trusted application enterprise software products and services provider. To learn more, please visit http://www.riministreet.com, follow @riministreet on Twitter and find Rimini Street on Facebook and LinkedIn. (IR-RMNI)
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Coronavirus Update: Recent FTC Guidance on the Use of Artificial Intelligence and Algorithms in the Age of COVID-19 – Government Contracts Legal Forum
On April 8, 2020, the Federal Trade Commission (FTC) published a blog post titled, Using Artificial Intelligence and Algorithms, that offers important lessons about the use of AI and algorithms in automated decision-making. The post begins by noting that headlines today tout rapid improvements in AI technology, and the use of more advanced AI has enormous potential to improve welfare and productivity. But more sophisticated AI also presents risks, such as the potential for unfair or discriminatory outcomes. This tension between benefits and risks is a particular concern in Health AI, and the tension will continue as AI technologies are deployed to tackle the current COVID-19 crisis.
The FTC post reminds companies that, while the sophistication of AI is new, automated decision-making is not, and the FTC has a long history of dealing with the challenges presented by the use of data and algorithms to make decisions about consumers.
Click here to continue reading the full version of this alert.
NEW YORK--(BUSINESS WIRE)--Artificial Intelligence Defense Platform, a technology start-up creating AI technology for a safer, more comfortable future, and its Founder Andy Khawaja prepare to create a sustainable habitat on Mars with AI technology.
AIDP and Andy Khawaja recently announced their pioneer project, ISABELLA, which will be an AI processing system capable of learning, retaining, and performing tasks.
They say ISABELLA will give communities the means to ensure tasks and roles are performed to create more sustainable environments and they plan to apply this to space exploration and the inhabitation of Mars.
This year, according to CNBC, Elon Musk announced his plans to build a sustainable city on Mars where food would be grown on solar-powered, hydroponic farms.
Business Insider said SpaceX hopes to build 1,000 starships in 10 years that will average three trips per day in a brief window that comes every 25 months when the orbits of Earth and Mars align.
There will be a lot of jobs on Mars, Musk said, but Dr. Andy Khawaja and AIDP believe there is a lot of room for artificial intelligence to protect lives.
Dr. Andy Khawaja and AIDP are creating artificial intelligence technology that will help create a sustainable environment on Mars as Elon Musk and SpaceX create the means to get there. The two companies could potentially work in unison.
Creating a sustainable environment on Mars requires quite a bit of creation we need to build houses and buildings, grow plants, create water sources. We need so many roles filled. But why risk jeopardizing human life? With AI technology, we can minimize risks and potential sacrifices to reach the goal, Dr. Andy Khawaja says.
According to Business Insider, SpaceX plans to build a city of 1 million people on Mars by 2050. Elon Musk told Ars Technica, Ill probably be long dead before Mars becomes self-sustaining.
But Artificial Intelligence Defense Platform and Andy Khawaja believe that the vision can be realized sooner with its AI technology and compatible systems/machines.
2.6 million years ago, stone tools were created. In 4000 BC, we created the wheel. In the 19th century, we created the lightbulb - then in the 20th century, we created vehicles, nuclear technology, and the internet. In the 21st century, we created biotech, nanotech, and fusion, Dr. Andy Khawaja said, God created mankind. We are creating AI technology. AI technology will save the future of mankind.
AIDP says they plan to save lives with AI technology. Human equivalent machines will create new opportunities and modern advancements for the world and its population.
About Artificial Intelligence Defense Platform:
Artificial Intelligence Defense Platform is creating new AI technology for compatible systems and machines to build a safer, more sustainable future for mankind. Please visit http://www.ai-dp.com/ for more information.
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AIDP and Andy Khawaja Set Sights on Bringing Artificial Intelligence to Mars - Business Wire
These Wonks Study the Dangers of Artificial Intelligence. To Get You to Pay Attention, They Wrote a Thriller. – Washingtonian
Burn-In, the latest futuristic thriller from P. W. Singer and August Cole, is technically a novel, but dont call it science fiction: None of the technologyand there is a whole lot of technologyis made up. The characters and plot are invented, but the depiction of the DC of the future is based not on imagination but rather on extensive research. Set roughly 20 years from now, the book taps into existing tech, ideas under development, and current research, all meticulously footnoted throughout the text.
Singer, a strategist and senior fellow at New America, is an expert on defense issues, while Cole once covered the defense industry for the Wall Street Journal. (They previously teamed up for Ghost Fleet, a novel about what a war with China might look like.) Their defense credentials and intriguing approach have earned them a surprising collection of Burn-In blurbs, from David Petraeus to Lost co-creator Damon Lindelof to Garry Kasparov. We talked to Singer about how the book came about and what Washington could be like two decades from now.
A good example would be algorithmic bias. It sounds like this wonky, complex topic, but algorithmic bias is essentially when the AI spits out an outcome or takes an action that is biased in some way that it wasnt originally programmed to do. For example, weve seen AI used to screen who should get bank loans, and it was screening out African Americans. The AI was being racist even though no one had told it to be racist. This is an incredibly important concept, but most people are not going to read an academic paper on algorithmic bias. Instead, we illustrate it through scenes like, for example, when an FBI agent is trying to pick a terrorist out of a crowd at Union Station. Its an exciting scene, and yet at the end of it the reader walks away not just entertained but also understanding some of the concepts of algorithmic bias.
Theres a long tradition of people in policy and politics writing a novel as a side enterprise. Some of them are really great, and some of them are not so great. [Laughs] But this is different in that it is actually part of the plan. Its taking that research that youre doing in the policy world and deliberately sharing it through this mix of fiction and nonfiction. Early on, I think there was a little bit of eyebrow raising, but then after the impact of Ghost Fleet, it was inarguable. It wasnt just that people were seeing an influence on policyit opened up a broader discussion of using this [type of book] as a new kind of tool. We call it useful fiction, or the more technical term is FICINT. For people in the government, theyll recognize the terms of SIGINT, signals intelligence, or HUMINT, human intelligence, and these are the tools that spies and analysts use to explain and explore and analyze. What weve put forward is this concept of FICINT, and its taken off.
New America is a different kind of think tankwe very much have a focus on new ideas and lifting up new voices, and weve also made a strong push to explore how to communicate in new, more-effective ways. In a world thats moving at machine speed, where theres so much going on around us thats hard to understand, it can be incredibly useful to have a guide to take you through that world. That is what narrative isits actually the oldest technology of all. But its not just the complexityits simply how much is going on. Important ideas, important research, are competing for attention. To put it bluntly, people are more likely to read an engrossing novel than a think tank white paper or an article in the Journal of the Association of Obscure Studies. [Laughs]
Burn-In has already had policy impact. The Cyberspace Solarium Commission is a Congressionally mandated bipartisan commission to essentially redo all US cybersecurity strategy. When they developed a report on the changes that the US needed to make in its cybersecurity policy, the commissioners were worried that the report would experience the same fate as all those other lengthy commission reports that had been written on terrorism before 9/11 that werent listened to until they were too late. And so in lieu of a traditional beginning to the report, they actually commissioned a short story from us that was drawn from Burn-In. The beginning of the report is actually this story read from the perspective of a congressional staffer who is tasked with writing legislation in the wake of a massive series of cyber attacks that have crippled Washington, DC. So the idea was to drop the commissions target audience into both a public and personal nightmare experience with the idea of inducing them to ponder what they ought to do in order to avoid going through thisright before they then read a series of policy solutions.
Steve Mnuchin said AI is not something that we have to care about for 50 to 100 years. Im sorry, its here now and it will be an issue that we all have to wrestle with. In many ways, were going through an industrial revolution like what happened with the rise of steam engines. But it goes beyond it, because in this case its a tool that is intelligent and that means there is a series of new questions that we all have to wrestle with. Essentially, we need to understand it and we need to prepare for it. Preparing for it is everything from how we make changes in our education system to changes in our law and policy.
Whats notable to me is how it cuts across so many different areas. Take the idea of face recognition. Its an issue for the DC police and federal government and US military but its also an issue for pretty much every business. Kentucky Fried Chicken is talking about applying face recognition! Okay, so what does that mean? What aspects of it are we okay with and what aspects are we not okay with? So I hope the book, by giving people an ability to visualize this future world, equips them better to navigate it as it all becomes real.
One thing I should add is how the pandemic has accelerated everything that was in play. All of the issues of Burn-In were in motion before the pandemic. But all the data shows that theyve been drastically accelerated by it. Our opening scene has a futuristic delivery robot driving down the sidewalk, and that very system has been deployed to deliver groceries in [parts of DC]. Or one of the characters is doing remote work, but at a cost to his marriagesomething a lot of people are dealing with. Much of the population has been thrown into remote learning and remote work to a level that was never anticipated. In other sectors weve been moved forward in a matter of weeks to where we didnt think wed be for ten years. Telemedicine is a good example of that. And were now putting into place plans for AI tracking of society at whole new levels. When we get through the pandemic, one thing that is easy to predict is that were not going 100 percent back. And so that means also that all the tough social, policy, legal, moral, security, and even family issues that our characters experience, theyre also going to come faster in the real world.
Technology is a tool, and every tool has been used for both and good and ill. The very first stone that was picked up was either used to smash up some food or bash someone in the head. Today, drones have been used for war and theyre also being used by human rights organizations to detect and stop war crimes. In Burn-In we play with that duality of these technologies coming. The Washington, DC, of the future will be a smarter cityyoull have smart homes, smart transportation, the internet of things weaving through buildings that range from government headquarters to restaurants and retail. Its going to create a level of convenience and money-saving and energy-saving that is very much out of the most utopian views of science fiction. Its going to be incredible in so many different ways. But, oh, by the way, it will also introduce new vulnerabilities that bad guys might take advantage of to carry out new kinds of crimes. So that duality is always there. Its up to us to determine which path wins out.
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Politics and Culture Editor
A DC native, Rob Brunner moved back to the city in 2017 to join Washingtonian. Previously, he was an editor and writer at Fast Company and other publications. He has also written for the New York Times Magazine, New York, and Rolling Stone, among others. He lives with his family in Chevy Chase DC.
Artificial Intelligence (AI) Market to Reach USD 202.57 Billion by 2026; Rising Demand for Cloud-based Applications to Aid Growth: Fortune Business…
Pune, May 25, 2020 (GLOBE NEWSWIRE) -- The global AI market is set to gain momentum from the rising utilization of cloud-based services and applications worldwide. Also, the increasing adoption of connected devices would impact the market positively in the coming years. This information is published by Fortune Business Insights in a recent report, titled, Artificial Intelligence (AI) Market Size, Share and Industry Analysis By Component (Hardware, Software, Services), By Technology (Computer Vision, Machine Learning, Natural Language Processing, Others), By Industry Vertical (BFSI, Healthcare, Manufacturing, Retail, IT & Telecom, Government, Others) and Regional Forecast, 2019-2026. The report further states that the global AI market size stood at USD 20.67 billion in 2018 and is projected to reach USD 202.57 billion by 2026, thereby exhibiting a CAGR of 33.1% during the forecast period.
Highlights of This Report:
An Overview of the Impact of COVID-19 on this Market:
The emergence of COVID-19 has brought the world to a standstill. We understand that this health crisis has brought an unprecedented impact on businesses across industries. However, this too shall pass. Rising support from governments and several companies can help in the fight against this highly contagious disease. There are some industries that are struggling and some are thriving. Overall, almost every sector is anticipated to be impacted by the pandemic.
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Drivers & Restraints-
Rising Demand for Industrial Robots to Propel Growth
The rising demand for customized robots is a vital driver of the AI market growth. Numerous reputed organizations in the developed nations are presently engaging in the development and supply of industrial robots equipped with the AI technology. Japan and South Korea, for instance, supplied approximately 38,600 and 41,400 units of industrial robots in 2016, respectively. Also, in the same year, China provided almost 87,000 units across the globe. Apart from that, AI technology is mainly required in the retail sector for enhancing customer service. Coupled with this, the increasing usage of machine learning (M2P and M2M) would contribute to the market growth. However, the rising concerns regarding the unreliability of AI algorithms and data privacy may hamper the market growth.
Natural Language Processing Segment to Dominate Owing to Its Usage in Various Applications
In terms of technology, the market is segregated into natural language processing, machine learning, computer vision, and others. Amongst these, the computer vision segment held 22.5% AI market share in 2018. This system helps in identifying and detecting patterns. It also synthesizes, analyses, and acquires realistic interactive interfaces. Then, it utilizes the ID tags to showcase pictures of associated items. The natural language processing segment currently accounts of the maximum share as it is adopted for a wide range of applications, such as Informational Retrieval (IR), speech processing, semantic disambiguation, text parsing, and machine translation.
Rising Adoption of AI by Biopharma Companies to Favor Growth in Asia Pacific
In 2018, North America procured USD 9.72 billion revenue and is set to remain in the leading position throughout the forecast period. This growth is attributable to the ongoing technological advancements in the fields of natural language processing, machine learning, and analytical tools. Besides, the rising awareness programs regarding the benefits of AI tools and systems would propel growth in this region. Asia Pacific, on the other hand, is expected to grow considerably backed by the major contribution of China. The government of this country is planning to merge with Baidu to support the implementation of AI and develop a deep learning laboratory consisting of military, manufacturing, smart agriculture, and intelligent logistics. Apart from that, AI is being extensively adopted by a large number of biopharma companies in this region. Developed nations, such as Japan are investing hefty amounts of money in creating AI algorithms to analyze large volumes of data.
Key Players Focus on Launching New Products to Strengthen Position
The market is fragmented with various companies operating across the world. They are mainly focusing on investing huge sums to develop new products. Numerous start-ups are adopting the strategy of mergers and acquisitions. Some of the others are considering the impact of the outbreak of Covid-19 pandemic and are making novel solutions to help people in performing various tasks. Below are a couple of the recent industry developments:
Fortune Business Insights lists out the names of all the AI service providers present in the global market. They are as follows:
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